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A Microservice-Based Fog-Enabled Infrastructure for Smart
Agriculture
Smart agriculture is
one of the most promising areas where IoT-enabled technologies have the
potential to substantially improve the quality and quantity of the crops and
reduce the associated operational cost. One of the key challenges is to
minimize input consumption, such as water, fertilizer and labor cost while
maximizing crop yields.
This project is
supported by the United States-India
Collaborative Research.
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Contact: mishras at cs dot colorado dot edu +1 303-492-4686 Links IUCRC: Pervasive Personalized Intelligence The Colorado Research Center for Democracy and Technology The CU CyberSafety Research Center Department of Computer Science University of Colorado Boulder
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This project
will design, implement and experiment with a
fog-enabled smart agriculture infrastructure that will reduce the quantity of
data transferred to the cloud and enable latency-sensitive services delivered
just in time. Specific objectives include: (1) Develop a microservice-based
architecture at the fog layer to address the limitations of intermittent
Internet connectivity, high latency and network
bandwidth consumption of cloud-based infrastructure. This layer will include
latency sensitive services, data filtering and aggregation, and decision
making in case of Internet disconnection. (2) Determine the set of important
and relevant services that a smart agriculture application can provide by
directly consulting the farmers. (3) Build a lightweight authentication and
integrity verification module at the fog layer to detect malicious data
injection by adversaries. (4) Experiment with lightweight data compression
techniques for large data items like images to conserve bandwidth and reduce
latency. The architecture of the proposed microservice-based
fog enabled infrastructure for smart agriculture is shown below:
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